Lingping Zeng, Stephanie Vialle, Jonathan Ennis-King, Lionel Esteban, Mohammad Sarmadivaleh, Joel Sarout, Jeremie Dautriat, Ausama Giwelli, Quan Xie
{"title":"Role of geochemical reactions on caprock integrity during underground hydrogen storage","authors":"Lingping Zeng, Stephanie Vialle, Jonathan Ennis-King, Lionel Esteban, Mohammad Sarmadivaleh, Joel Sarout, Jeremie Dautriat, Ausama Giwelli, Quan Xie","doi":"10.1016/j.est.2023.107414","DOIUrl":"https://doi.org/10.1016/j.est.2023.107414","url":null,"abstract":"Underground hydrogen storage in depleted gas reservoirs is a promising and economical option for large-scale renewable energy storage to achieve net-zero carbon emission. While caprock plays an important role in sealing capacity, current knowledge is still limited on the effect of H2-brine-rock geochemical interactions on caprock integrity, raising concerns about the viability of long-term UHS. To address this problem, we developed kinetic batch models to characterize the time-dependent redox-reactions which are unique for underground hydrogen storage. This is combined with analytical estimates for the extent of hydrogen penetration into caprock. Our results show that the dissolution degrees of all tested minerals in three types of shales are <1 % in 30 years, indicating a strong caprock integrity and containment ability during underground hydrogen storage from a geochemical perspective. Reactive transport calculations indicate that hydrogen only affects a few metres of the caprock above the reservoir, so that storage integrity of thick caprocks will be unaffected. Similarly, the overall amount of hydrogen penetrating into caprock is likely to be a tiny fraction of the amount stored, typically much <1 %. Overall, our results suggest that H2-brine-shale geochemical interactions may not compromise caprock integrity during underground hydrogen storage.","PeriodicalId":94331,"journal":{"name":"Journal of energy storage","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135165195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reevaluating the stability of the PEO-based solid-state electrolytes for high voltage solid-state batteries","authors":"Xinsheng Wu, Jay F. Whitacre","doi":"10.1016/j.est.2023.107052","DOIUrl":"https://doi.org/10.1016/j.est.2023.107052","url":null,"abstract":"This work shows how PEO-based solid state-electrolyte materials can be more stable than commonly expected when used with some types of high voltage cathode materials. Potentiodynamic and galvanostatic tests were performed in test cells using PEO electrolyte layers with either LiNixMnyCozO2 or LiCoO2 cathode materials. We found that the high voltage instability of PEO-based solid-state cells is profoundly affected by the interfacial instability of the cathode material used Specifically, the in the presence of PEO electrolyte, LiCoO2 electrodes were observed to undergo an irreversible oxidation process where they eventually shattered into small pieces, thus leading to a rapid irreversible loss in capacity. In contrast, we found that the PEO-based solid-state electrolytes could be stably cycled with high-nickel content cathode materials (NCM 811, 532, and 111) stably at a cell potential up to 4.5 V vs. Li/Li+ over many cycles with minimal capacity deterioration; this unexpected degree of stability in light of possible PEO/cathode interfacial stability concepts.","PeriodicalId":94331,"journal":{"name":"Journal of energy storage","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136011565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhendong Zhang, Zehua Zhu, Ziqiang Yang, Lei Sheng
{"title":"Numerical-experimental method to devise a liquid-cooling test system for lithium-ion battery packs","authors":"Zhendong Zhang, Zehua Zhu, Ziqiang Yang, Lei Sheng","doi":"10.1016/j.est.2023.107096","DOIUrl":"https://doi.org/10.1016/j.est.2023.107096","url":null,"abstract":"The liquid-cooling system (LCS) of lithium-ion battery (LIB) pack is crucial in prolonging battery lifespan and improving electric vehicle (EV) reliability. This study purposes to control the battery pack's thermal distribution within a desirable level per a new-designed LCS. Both the special experimental platform and LCS model coupled with EV dynamic model are established to pinpoint the optimal matching parameters of components and the system's operational control-strategies. The results show that the deviation between experiment and simulation is within 3.0 % under conventional conditions. Higher flowrate and lower inlet temperature lead to lower battery temperature, while delaying the cooling intervention could reduce power consumption of 20 % around. The multi-objective optimization is conducted to further slash power consumption at 2750 W, and battery temperature at 30.83 °C during normal 1C discharge, by using response surface method combined with genetic algorithm II. Moreover, the present optimization also demonstrates a well-balanced solution between the battery temperature and power consumption under drive cycle. Combined with experiment and simulation, this work is valuable for one to design an excellent LCS for LIB packs of EV.","PeriodicalId":94331,"journal":{"name":"Journal of energy storage","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135845688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A review on methods for state of health forecasting of lithium-ion batteries applicable in real-world operational conditions","authors":"Friedrich von Bülow, Tobias Meisen","doi":"10.1016/j.est.2022.105978","DOIUrl":"https://doi.org/10.1016/j.est.2022.105978","url":null,"abstract":"The ageing of Lithium-ion batteries can be described as change of state of health (∆SOH). It depends on the battery's operation during charging, discharging, and rest phases. Mapping the operation conditions during these phases for long time windows to a ∆SOH enables forecasting the battery's SOH. With SOH forecasting fleet managers of battery electric vehicle (BEV) fleets can plan vehicle replacement and optimize the fleet's operational strategy. Inspired by the applicability from a user's perspective of fleet managers and battery designers, this work motivates and defines key criteria for SOH forecasting models. The key criteria concern the encoding of information in the model inputs, model transferability to other batteries, and the applicability to 2nd life battery applications. Based on these key criteria we review SOH forecasting models. Currently, only few models satisfy the majority of the defined key criteria, while three others only fail at two key criteria. The majority (71 %) of the methods use machine learning models which can be seen as current research trend due to the complex dependence of battery operational data and battery ageing. We show limitations of the applicability and comparability of existing models due to different data sets, different metrics, different output values, and different forecast horizons. Furthermore, code and data are only rarely shared and publicly available.","PeriodicalId":94331,"journal":{"name":"Journal of energy storage","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135843526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Deqian Meng, Chengfeng Wu, Yunzhi Hu, Yidan Jing, Xiaomin Zhang, Sakil Mahmud, Sheng Pei Su, Jin Zhu
{"title":"Ingenious synthesis of chitosan-based porous carbon supercapacitors with large specific area by a small amount of potassium hydroxide","authors":"Deqian Meng, Chengfeng Wu, Yunzhi Hu, Yidan Jing, Xiaomin Zhang, Sakil Mahmud, Sheng Pei Su, Jin Zhu","doi":"10.1016/j.est.2022.104341","DOIUrl":"https://doi.org/10.1016/j.est.2022.104341","url":null,"abstract":"","PeriodicalId":94331,"journal":{"name":"Journal of energy storage","volume":"51 1","pages":"104341-104341"},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147914523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}